Published multiple papers in conferences such as ICML, AISTATS, focusing on areas like multi-functional diffusion for multi-physics emulation, efficient kernel-based solvers for nonlinear PDEs, etc.
Research Experience
Teaching mentor for CS 6190 Probabilistic Machine Learning (Spring 2023) and CS 6350 Machine Learning (Fall 2022).
Education
PhD: University of Utah, Kahlert School of Computing, Computer Science, in progress; BS: University of Arizona, Double Major in Computer Science and Mathematics.
Background
Research interests include: LLM Post-training, Surrogate Modeling, Reinforcement Learning. Personal background: Ph.D. student in Computer Science at the Kahlert School of Computing, University of Utah. Bachelor's degree from the University of Arizona, double major in Computer Science and Mathematics.
Miscellany
Looking for full-time job opportunities starting summer/fall 2026.